Takes model and data in csv fitforplot16m.csv calculated
in optimise_withKandEps.Rmd.
Predictions generated from the best fitting parameter combination for each model.
All models have epsilon and tau. First eight have kappa (to go with Kindness).
Models have four ‘components’: Kindness, Selection, Inference, Actual causation.
The full model has all four.
Thereafter they are progressively lesioned.
They are lesioned in the following way:
First block of eight inc. full: has Kindness, with all other modules lesioned dissociatively (naming convention `noX’ means lesioned to remove the X module.
Next block of eight: follows the same process in order, this time without Kindness.